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update embeddings from resnet model
Browse files- all_fossils_filtered_100.csv +0 -0
- app.py +1 -1
- closest_sample.py +4 -4
- embedding_fossils_142_finer.npy +3 -0
all_fossils_filtered_100.csv
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See raw diff
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app.py
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@@ -329,7 +329,7 @@ with gr.Blocks(theme='sudeepshouche/minimalist') as demo:
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with gr.Column():
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model_name = gr.Dropdown(
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-
["Mummified 170", "Rock 170","Fossils
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multiselect=False,
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value="Fossils 142", # default option
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label="Model",
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with gr.Column():
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model_name = gr.Dropdown(
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["Fossils 142"],#"Mummified 170", "Rock 170","Fossils BEiT" removed
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multiselect=False,
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value="Fossils 142", # default option
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label="Model",
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closest_sample.py
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@@ -18,9 +18,9 @@ if not os.path.exists('dataset'):
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snapshot_download(repo_id=REPO_ID, token=token,repo_type='dataset',local_dir='dataset')
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fossils_pd= pd.read_csv('
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def pca_distance(pca,sample,embedding,top_k):
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"""
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Args:
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pca:fitted PCA model
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@@ -62,7 +62,7 @@ def get_images(embedding,model_name):
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elif model_name in ['Fossils 142']:
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pca_fossils = pk.load(open('pca_fossils_142_resnet.pkl','rb'))
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pca_leaves = pk.load(open('pca_leaves_142_resnet.pkl','rb'))
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embedding_fossils = np.load('dataset/
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#embedding_leaves = np.load('embedding_leaves.npy')
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else:
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print(f'{model_name} not recognized')
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@@ -110,7 +110,7 @@ def get_diagram(embedding,top_k,model_name):
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elif model_name in ['Fossils 142']:
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pca_fossils = pk.load(open('pca_fossils_142_resnet.pkl','rb'))
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pca_leaves = pk.load(open('pca_leaves_142_resnet.pkl','rb'))
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embedding_fossils = np.load('dataset/
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#embedding_leaves = np.load('embedding_leaves.npy')
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else:
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print(f'{model_name} not recognized')
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snapshot_download(repo_id=REPO_ID, token=token,repo_type='dataset',local_dir='dataset')
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fossils_pd= pd.read_csv('all_fossils_filtered_100.csv')
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def pca_distance(pca,sample,embedding,top_k):
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"""
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Args:
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pca:fitted PCA model
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elif model_name in ['Fossils 142']:
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pca_fossils = pk.load(open('pca_fossils_142_resnet.pkl','rb'))
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pca_leaves = pk.load(open('pca_leaves_142_resnet.pkl','rb'))
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embedding_fossils = np.load('dataset/embedding_fossils_142_finer.npy')
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#embedding_leaves = np.load('embedding_leaves.npy')
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else:
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print(f'{model_name} not recognized')
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elif model_name in ['Fossils 142']:
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pca_fossils = pk.load(open('pca_fossils_142_resnet.pkl','rb'))
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pca_leaves = pk.load(open('pca_leaves_142_resnet.pkl','rb'))
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embedding_fossils = np.load('dataset/embedding_fossils_142_finer.npy')
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#embedding_leaves = np.load('embedding_leaves.npy')
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else:
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print(f'{model_name} not recognized')
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embedding_fossils_142_finer.npy
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@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:284a9154c60e41c9d912c0f2e335ea01c6741e88bc779cb4c9e09e8ec05baf29
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+
size 28172416
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